What is the term for a filter that follows another filter?

The term for a filter that follows another filter is “Cascading Filter.” This concept is essential in data analysis and reporting, especially in analytics platforms where user experience and data relevance are prioritized. A cascading filter allows the selection options in the second filter to be influenced by the selection made in the first filter. This interdependency between filters helps narrow down data in more meaningful ways, ensuring that the user is only presented with relevant choices based on previous selections.

For example, if a user selects a country in the first filter, the second filter could then display only the corresponding cities or regions within that country, thereby creating a more streamlined and intuitive data selection process. Such a setup enhances user experience by preventing irrelevant data from being shown, making it easier for users to gather insights.

Other terms do exist for filters used in data analysis, but they do not quite capture the specific functionality of dependent selection as effectively as “Cascading Filter.”